The world consists of many complex systems, ranging from our own bodies to ecosystems to economic systems. Despite their diversity, complex sysΒ tems have many structural and functional features in common that can be effectively modeled using powerful, user-friendly software. As a result, virΒ tually anyone can explore the nature of complex systems and their dynamΒ ical behavior under a range of assumptions and conditions. This ability to model dynamic systems is already having a powerful influence on teaching and studying complexity. The books in this series will promote this revolution in "systems thinkΒ ing" by integrating skills of numeracy and techniques of dynamic modeling into a variety of disciplines. The unifying theme across the series will be the power and simplicity of the model-building process, and all books are deΒ signed to engage readers in developing their own models for exploration of the dynamics of systems that are of interest to them. Modeling Dynamic Systems does not endorse any particular modeling paradigm or software. Rather, the volumes in the series will emphasize simΒ plicity of learning, expressive power, and the speed of execution as prioriΒ ties that will facilitate deeper system understanding.